title: Noise-tolerant instantaneous heart rate and R-peak detection using short-term autocorrelation for wearable healthcare systems.
abstract: This paper describes a robust method of Instantaneous Heart Rate (IHR) and R-peak detection from noisy electrocardiogram (ECG) signals. Generally, the IHR is calculated from the R-wave interval. Then, the R-waves are extracted from the ECG using a threshold. However, in wearable bio-signal monitoring systems, noise increases the incidence of misdetection and false detection of R-peaks. To prevent incorrect detection, we introduce a short-term autocorrelation (STAC) technique and a small-window autocorrelation (SWAC) technique, which leverages the similarity of QRS complex waveforms. Simulation results show that the proposed method improves the noise tolerance of R-peak detection.
authors.forename: Takahide
authors.initials: T
authors.lastname: Fujii
authors.forename: Masanao
authors.initials: M
authors.lastname: Nakano
authors.forename: Ken
authors.initials: K
authors.lastname: Yamashita
authors.forename: Toshihiro
authors.initials: T
authors.lastname: Konishi
authors.forename: Shintaro
authors.initials: S
authors.lastname: Izumi
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Kawaguchi
authors.forename: Masahiko
authors.initials: M
authors.lastname: Yoshimoto
mesh_terms: D000465:Algorithms; D001145:Arrhythmias, Cardiac / Q000175:diagnosis*; D003198:Computer Simulation; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods; D006339:Heart Rate; D006801:Humans; D018670:Monitoring, Ambulatory / Q000295:instrumentation* / Q000379:methods; D009622:Noise; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D017216:Telemedicine / Q000295:instrumentation